15 citations · 36 across the 11 of their papers we have counts for
10 papers · 1 filter
DRetHTR: Linear-Time Decoder-Only Retentive Network for Handwritten Text Recognition
Changhun Kim, Martin Mayr, Thomas Gorges +4
State-of-the-art handwritten text recognition (HTR) systems commonly use Transformers, whose growing key-value (KV) cache makes decoding slow and memory-intensive. We introduce DRe…
SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery
Nora Gourmelon, Marcel Dreier, Martin Mayr +5
Glaciers are losing ice mass at unprecedented rates, increasing the need for accurate, year-round monitoring to understand frontal ablation, particularly the factors driving the ca…
Nuremberg Letterbooks: A Multi-Transcriptional Dataset of Early 15th Century Manuscripts for Document Analysis
Martin Mayr, Julian Krenz, Katharina Neumeier +8
Most datasets in the field of document analysis utilize highly standardized labels, which, while simplifying specific tasks, often produce outputs that are not directly applicable…
Zero-Shot Paragraph-level Handwriting Imitation with Latent Diffusion Models
Martin Mayr, Marcel Dreier, Florian Kordon +5
The imitation of cursive handwriting is mainly limited to generating handwritten words or lines. Multiple synthetic outputs must be stitched together to create paragraphs or whole…
A Fair Evaluation of Various Deep Learning-Based Document Image Binarization Approaches
Richin Sukesh, Mathias Seuret, Anguelos Nicolaou +2
Binarization of document images is an important pre-processing step in the field of document analysis. Traditional image binarization techniques usually rely on histograms or local…
Combining OCR Models for Reading Early Modern Printed Books
Mathias Seuret, Janne van der Loop, Nikolaus Weichselbaumer +6
In this paper, we investigate the usage of fine-grained font recognition on OCR for books printed from the 15th to the 18th century. We used a newly created dataset for OCR of earl…